This article provides an overview of the smlar plug-in and describes how it supports multiple similarity algorithms.
This post outlines different methods to find the similarity between documents in various scenarios and focuses on how different algorithms can be used to improve efficiency in such scenarios.
This article explains how the PostgreSQL database along with smlar plug-in helps in efficiently retrieving massive volumes of SimHash data on the basis of the hamming distance.
This post discusses how to calculate the similarity between arrays using algorithms. It focuses on similarity calculation for strings, images, and other types of data in PostgreSQL.
This post outlines several ways to filter duplicate e-commerce content and also describes how indexing helps to determine the similarity between documents.
This article introduces the Smlar extension for PostgreSQL and its application in graph search for content communities such as forums.
